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How One of the Largest Insurers in India Minimized Agent Fraud

How One of the Largest Insurers in India Minimized Agent Fraud

Case Studies
Author
Bureau Team
Bureau Team

December 6, 2021

Expert
Bureau Team
Bureau Team

December 13, 2021

Table Of Contents

A major private insurance company offers a range of products including children's future plans, wealth protection plans, retirement and pension solutions.. While a trustworthy brand with a strong legacy, the insurer has struggled recently with a wave of fake customer applications.

The Challenge: Agent Abuse

Despite seeing strong growth, the insurer grappled with a spike in fraudulent cases -- the most common and damaging being application fraud perpetrated internally.  Unscrupulous yet enterprising field agents or feet-on-street agents, in an effort to boost sales commissions per policies would register customers’ details without their consent. In some cases, agents would create fake IDs for applications using their own or made up credentials for various policies.

This made it challenging  for the insurer during the processing stage;  it was difficult to verify genuine applications, filter fake applicants or even contact supposed leads.  Worse, angry customer complaints increased once it was revealed their personal information had been misused .

 The insurer attempted to resolve the issue by authenticating customers through follow up verification links via SMS and email. This effort proved to be futile in the cases where the phone numbers and email ids provided in the applications belonged to those who forwarded the verification messages to the agents, thus making it impossible to validate profiles.

Adding the additional verification step unfortunately resulted in increasing customers drop offs during registration, as the entire onboarding process was too lengthy and time consuming. Conversion rates, latency rates and costs took a hit.

The insurance company needed a way to quickly and accurately validate the identity of new users,  screen for fraudulent applications, yet preserve a low friction  new customer journey.

The Solution

To provide a fast, seamless and secure customer experience, the insurer required a fraud prevention solution that verifies customer identities ideally in real time. Bureau's account opening and onboarding solution easily integrated with the insurer’s existing system.

  • At onboarding, an applicant’s details are matched against Bureau’s intelligence on his or her known persona; consisting of name, email and phone number. Bureau then provides a risk profile based on the likelihood of authenticity of the identity. High risk profiles are then flagged for further check, for example, where personal details didn’t quite match up. A high risk result could indicate a potential synthetic or fake ID used in the application. 
  • Bureau was also able to detect instances of agent abuse. By capturing details of the device and behavior of the user at the outset, Bureau identified instances where agents were falsifying applications from their own device.
  • Bureau allows the insurer to perform identity verification, and risk profiling of the applicant’s persona, device and behavior all takes place in under a minute during pre-onboarding checks, in a seamless and non-invasive manner.

Results

Within a week of integrating Bureau Onboard, the insurer noticed accurate, actionable results. They were able to detect mismatched identities from inception, resulting in more than 100 fake applications being detected and subjected to resubmission. An immediate drop in customer complaints concerning to unauthorized applications resulted.

Bureau’s smart solution blocked high-risk users and verified moderate-risk users by subjecting them to further onboarding checks while the low-risk users enjoyed a swift onboarding process. The average time to onboard a user came down by 30%, resulting in more conversions and elevated user experience. 

Till date, more than 37% of the insurer’s users have reaped the benefits of better, simpler yet more secure onboarding.

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